| Current File : //proc/self/root/lib/python3/dist-packages/botocore/data/cleanroomsml/2023-09-06/service-2.json |
{
"version":"2.0",
"metadata":{
"apiVersion":"2023-09-06",
"endpointPrefix":"cleanrooms-ml",
"jsonVersion":"1.1",
"protocol":"rest-json",
"serviceFullName":"AWS Clean Rooms ML",
"serviceId":"CleanRoomsML",
"signatureVersion":"v4",
"signingName":"cleanrooms-ml",
"uid":"cleanroomsml-2023-09-06"
},
"operations":{
"CreateAudienceModel":{
"name":"CreateAudienceModel",
"http":{
"method":"POST",
"requestUri":"/audience-model",
"responseCode":200
},
"input":{"shape":"CreateAudienceModelRequest"},
"output":{"shape":"CreateAudienceModelResponse"},
"errors":[
{"shape":"ConflictException"},
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"},
{"shape":"ServiceQuotaExceededException"}
],
"documentation":"<p>Defines the information necessary to create an audience model. An audience model is a machine learning model that Clean Rooms ML trains to measure similarity between users. Clean Rooms ML manages training and storing the audience model. The audience model can be used in multiple calls to the <a>StartAudienceGenerationJob</a> API.</p>",
"idempotent":true
},
"CreateConfiguredAudienceModel":{
"name":"CreateConfiguredAudienceModel",
"http":{
"method":"POST",
"requestUri":"/configured-audience-model",
"responseCode":200
},
"input":{"shape":"CreateConfiguredAudienceModelRequest"},
"output":{"shape":"CreateConfiguredAudienceModelResponse"},
"errors":[
{"shape":"ConflictException"},
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"},
{"shape":"ServiceQuotaExceededException"}
],
"documentation":"<p>Defines the information necessary to create a configured audience model.</p>",
"idempotent":true
},
"CreateTrainingDataset":{
"name":"CreateTrainingDataset",
"http":{
"method":"POST",
"requestUri":"/training-dataset",
"responseCode":200
},
"input":{"shape":"CreateTrainingDatasetRequest"},
"output":{"shape":"CreateTrainingDatasetResponse"},
"errors":[
{"shape":"ConflictException"},
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"}
],
"documentation":"<p>Defines the information necessary to create a training dataset, or seed audience. In Clean Rooms ML, the <code>TrainingDataset</code> is metadata that points to a Glue table, which is read only during <code>AudienceModel</code> creation.</p>",
"idempotent":true
},
"DeleteAudienceGenerationJob":{
"name":"DeleteAudienceGenerationJob",
"http":{
"method":"DELETE",
"requestUri":"/audience-generation-job/{audienceGenerationJobArn}",
"responseCode":200
},
"input":{"shape":"DeleteAudienceGenerationJobRequest"},
"errors":[
{"shape":"ConflictException"},
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Deletes the specified audience generation job, and removes all data associated with the job.</p>",
"idempotent":true
},
"DeleteAudienceModel":{
"name":"DeleteAudienceModel",
"http":{
"method":"DELETE",
"requestUri":"/audience-model/{audienceModelArn}",
"responseCode":200
},
"input":{"shape":"DeleteAudienceModelRequest"},
"errors":[
{"shape":"ConflictException"},
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Specifies an audience model that you want to delete. You can't delete an audience model if there are any configured audience models that depend on the audience model.</p>",
"idempotent":true
},
"DeleteConfiguredAudienceModel":{
"name":"DeleteConfiguredAudienceModel",
"http":{
"method":"DELETE",
"requestUri":"/configured-audience-model/{configuredAudienceModelArn}",
"responseCode":200
},
"input":{"shape":"DeleteConfiguredAudienceModelRequest"},
"errors":[
{"shape":"ConflictException"},
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Deletes the specified configured audience model. You can't delete a configured audience model if there are any lookalike models that use the configured audience model. If you delete a configured audience model, it will be removed from any collaborations that it is associated to.</p>",
"idempotent":true
},
"DeleteConfiguredAudienceModelPolicy":{
"name":"DeleteConfiguredAudienceModelPolicy",
"http":{
"method":"DELETE",
"requestUri":"/configured-audience-model/{configuredAudienceModelArn}/policy",
"responseCode":200
},
"input":{"shape":"DeleteConfiguredAudienceModelPolicyRequest"},
"errors":[
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Deletes the specified configured audience model policy.</p>",
"idempotent":true
},
"DeleteTrainingDataset":{
"name":"DeleteTrainingDataset",
"http":{
"method":"DELETE",
"requestUri":"/training-dataset/{trainingDatasetArn}",
"responseCode":200
},
"input":{"shape":"DeleteTrainingDatasetRequest"},
"errors":[
{"shape":"ConflictException"},
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Specifies a training dataset that you want to delete. You can't delete a training dataset if there are any audience models that depend on the training dataset. In Clean Rooms ML, the <code>TrainingDataset</code> is metadata that points to a Glue table, which is read only during <code>AudienceModel</code> creation. This action deletes the metadata.</p>",
"idempotent":true
},
"GetAudienceGenerationJob":{
"name":"GetAudienceGenerationJob",
"http":{
"method":"GET",
"requestUri":"/audience-generation-job/{audienceGenerationJobArn}",
"responseCode":200
},
"input":{"shape":"GetAudienceGenerationJobRequest"},
"output":{"shape":"GetAudienceGenerationJobResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Returns information about an audience generation job.</p>"
},
"GetAudienceModel":{
"name":"GetAudienceModel",
"http":{
"method":"GET",
"requestUri":"/audience-model/{audienceModelArn}",
"responseCode":200
},
"input":{"shape":"GetAudienceModelRequest"},
"output":{"shape":"GetAudienceModelResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Returns information about an audience model</p>"
},
"GetConfiguredAudienceModel":{
"name":"GetConfiguredAudienceModel",
"http":{
"method":"GET",
"requestUri":"/configured-audience-model/{configuredAudienceModelArn}",
"responseCode":200
},
"input":{"shape":"GetConfiguredAudienceModelRequest"},
"output":{"shape":"GetConfiguredAudienceModelResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Returns information about a specified configured audience model.</p>"
},
"GetConfiguredAudienceModelPolicy":{
"name":"GetConfiguredAudienceModelPolicy",
"http":{
"method":"GET",
"requestUri":"/configured-audience-model/{configuredAudienceModelArn}/policy",
"responseCode":200
},
"input":{"shape":"GetConfiguredAudienceModelPolicyRequest"},
"output":{"shape":"GetConfiguredAudienceModelPolicyResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Returns information about a configured audience model policy.</p>"
},
"GetTrainingDataset":{
"name":"GetTrainingDataset",
"http":{
"method":"GET",
"requestUri":"/training-dataset/{trainingDatasetArn}",
"responseCode":200
},
"input":{"shape":"GetTrainingDatasetRequest"},
"output":{"shape":"GetTrainingDatasetResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Returns information about a training dataset.</p>"
},
"ListAudienceExportJobs":{
"name":"ListAudienceExportJobs",
"http":{
"method":"GET",
"requestUri":"/audience-export-job",
"responseCode":200
},
"input":{"shape":"ListAudienceExportJobsRequest"},
"output":{"shape":"ListAudienceExportJobsResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"}
],
"documentation":"<p>Returns a list of the audience export jobs.</p>"
},
"ListAudienceGenerationJobs":{
"name":"ListAudienceGenerationJobs",
"http":{
"method":"GET",
"requestUri":"/audience-generation-job",
"responseCode":200
},
"input":{"shape":"ListAudienceGenerationJobsRequest"},
"output":{"shape":"ListAudienceGenerationJobsResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"}
],
"documentation":"<p>Returns a list of audience generation jobs.</p>"
},
"ListAudienceModels":{
"name":"ListAudienceModels",
"http":{
"method":"GET",
"requestUri":"/audience-model",
"responseCode":200
},
"input":{"shape":"ListAudienceModelsRequest"},
"output":{"shape":"ListAudienceModelsResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"}
],
"documentation":"<p>Returns a list of audience models.</p>"
},
"ListConfiguredAudienceModels":{
"name":"ListConfiguredAudienceModels",
"http":{
"method":"GET",
"requestUri":"/configured-audience-model",
"responseCode":200
},
"input":{"shape":"ListConfiguredAudienceModelsRequest"},
"output":{"shape":"ListConfiguredAudienceModelsResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"}
],
"documentation":"<p>Returns a list of the configured audience models.</p>"
},
"ListTagsForResource":{
"name":"ListTagsForResource",
"http":{
"method":"GET",
"requestUri":"/tags/{resourceArn}",
"responseCode":200
},
"input":{"shape":"ListTagsForResourceRequest"},
"output":{"shape":"ListTagsForResourceResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Returns a list of tags for a provided resource.</p>"
},
"ListTrainingDatasets":{
"name":"ListTrainingDatasets",
"http":{
"method":"GET",
"requestUri":"/training-dataset",
"responseCode":200
},
"input":{"shape":"ListTrainingDatasetsRequest"},
"output":{"shape":"ListTrainingDatasetsResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"}
],
"documentation":"<p>Returns a list of training datasets.</p>"
},
"PutConfiguredAudienceModelPolicy":{
"name":"PutConfiguredAudienceModelPolicy",
"http":{
"method":"PUT",
"requestUri":"/configured-audience-model/{configuredAudienceModelArn}/policy",
"responseCode":200
},
"input":{"shape":"PutConfiguredAudienceModelPolicyRequest"},
"output":{"shape":"PutConfiguredAudienceModelPolicyResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Create or update the resource policy for a configured audience model.</p>",
"idempotent":true
},
"StartAudienceExportJob":{
"name":"StartAudienceExportJob",
"http":{
"method":"POST",
"requestUri":"/audience-export-job",
"responseCode":200
},
"input":{"shape":"StartAudienceExportJobRequest"},
"errors":[
{"shape":"ConflictException"},
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"},
{"shape":"ServiceQuotaExceededException"}
],
"documentation":"<p>Export an audience of a specified size after you have generated an audience.</p>",
"idempotent":true
},
"StartAudienceGenerationJob":{
"name":"StartAudienceGenerationJob",
"http":{
"method":"POST",
"requestUri":"/audience-generation-job",
"responseCode":200
},
"input":{"shape":"StartAudienceGenerationJobRequest"},
"output":{"shape":"StartAudienceGenerationJobResponse"},
"errors":[
{"shape":"ConflictException"},
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"},
{"shape":"ServiceQuotaExceededException"}
],
"documentation":"<p>Information necessary to start the audience generation job.</p>",
"idempotent":true
},
"TagResource":{
"name":"TagResource",
"http":{
"method":"POST",
"requestUri":"/tags/{resourceArn}",
"responseCode":200
},
"input":{"shape":"TagResourceRequest"},
"output":{"shape":"TagResourceResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Adds metadata tags to a specified resource.</p>"
},
"UntagResource":{
"name":"UntagResource",
"http":{
"method":"DELETE",
"requestUri":"/tags/{resourceArn}",
"responseCode":200
},
"input":{"shape":"UntagResourceRequest"},
"output":{"shape":"UntagResourceResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Removes metadata tags from a specified resource.</p>",
"idempotent":true
},
"UpdateConfiguredAudienceModel":{
"name":"UpdateConfiguredAudienceModel",
"http":{
"method":"PATCH",
"requestUri":"/configured-audience-model/{configuredAudienceModelArn}",
"responseCode":200
},
"input":{"shape":"UpdateConfiguredAudienceModelRequest"},
"output":{"shape":"UpdateConfiguredAudienceModelResponse"},
"errors":[
{"shape":"ConflictException"},
{"shape":"ValidationException"},
{"shape":"AccessDeniedException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Provides the information necessary to update a configured audience model. Updates that impact audience generation jobs take effect when a new job starts, but do not impact currently running jobs.</p>",
"idempotent":true
}
},
"shapes":{
"AccessDeniedException":{
"type":"structure",
"required":["message"],
"members":{
"message":{"shape":"String"}
},
"documentation":"<p>You do not have sufficient access to perform this action.</p>",
"error":{
"httpStatusCode":403,
"senderFault":true
},
"exception":true
},
"AccountId":{
"type":"string",
"max":12,
"min":12,
"pattern":"^[0-9]{12}$"
},
"AudienceDestination":{
"type":"structure",
"required":["s3Destination"],
"members":{
"s3Destination":{
"shape":"S3ConfigMap",
"documentation":"<p>The Amazon S3 bucket and path for the configured audience.</p>"
}
},
"documentation":"<p>Defines the Amazon S3 bucket where the configured audience is stored.</p>"
},
"AudienceExportJobList":{
"type":"list",
"member":{"shape":"AudienceExportJobSummary"}
},
"AudienceExportJobStatus":{
"type":"string",
"enum":[
"CREATE_PENDING",
"CREATE_IN_PROGRESS",
"CREATE_FAILED",
"ACTIVE"
]
},
"AudienceExportJobSummary":{
"type":"structure",
"required":[
"audienceGenerationJobArn",
"audienceSize",
"createTime",
"name",
"status",
"updateTime"
],
"members":{
"audienceGenerationJobArn":{
"shape":"AudienceGenerationJobArn",
"documentation":"<p>The Amazon Resource Name (ARN) of the audience generation job that was exported.</p>"
},
"audienceSize":{"shape":"AudienceSize"},
"createTime":{
"shape":"SyntheticTimestamp_date_time",
"documentation":"<p>The time at which the audience export job was created.</p>"
},
"description":{
"shape":"ResourceDescription",
"documentation":"<p>The description of the audience export job.</p>"
},
"name":{
"shape":"NameString",
"documentation":"<p>The name of the audience export job.</p>"
},
"outputLocation":{
"shape":"S3Path",
"documentation":"<p>The Amazon S3 bucket where the audience export is stored.</p>"
},
"status":{
"shape":"AudienceExportJobStatus",
"documentation":"<p>The status of the audience export job.</p>"
},
"statusDetails":{"shape":"StatusDetails"},
"updateTime":{
"shape":"SyntheticTimestamp_date_time",
"documentation":"<p>The most recent time at which the audience export job was updated.</p>"
}
},
"documentation":"<p>Provides information about the audience export job.</p>"
},
"AudienceGenerationJobArn":{
"type":"string",
"max":2048,
"min":20,
"pattern":"^arn:aws[-a-z]*:cleanrooms-ml:[-a-z0-9]+:[0-9]{12}:audience-generation-job/[-a-zA-Z0-9_/.]+$"
},
"AudienceGenerationJobDataSource":{
"type":"structure",
"required":[
"dataSource",
"roleArn"
],
"members":{
"dataSource":{
"shape":"S3ConfigMap",
"documentation":"<p>The Amazon S3 bucket where the training data for the configured audience is stored.</p>"
},
"roleArn":{
"shape":"IamRoleArn",
"documentation":"<p>The ARN of the IAM role that can read the Amazon S3 bucket where the training data is stored.</p>"
}
},
"documentation":"<p>Defines the Amazon S3 bucket where the training data for the configured audience is stored.</p>"
},
"AudienceGenerationJobList":{
"type":"list",
"member":{"shape":"AudienceGenerationJobSummary"}
},
"AudienceGenerationJobStatus":{
"type":"string",
"enum":[
"CREATE_PENDING",
"CREATE_IN_PROGRESS",
"CREATE_FAILED",
"ACTIVE",
"DELETE_PENDING",
"DELETE_IN_PROGRESS",
"DELETE_FAILED"
]
},
"AudienceGenerationJobSummary":{
"type":"structure",
"required":[
"audienceGenerationJobArn",
"configuredAudienceModelArn",
"createTime",
"name",
"status",
"updateTime"
],
"members":{
"audienceGenerationJobArn":{
"shape":"AudienceGenerationJobArn",
"documentation":"<p>The Amazon Resource Name (ARN) of the audience generation job.</p>"
},
"collaborationId":{
"shape":"UUID",
"documentation":"<p>The identifier of the collaboration that contains this audience generation job.</p>"
},
"configuredAudienceModelArn":{
"shape":"ConfiguredAudienceModelArn",
"documentation":"<p>The Amazon Resource Name (ARN) of the configured audience model that was used for this audience generation job.</p>"
},
"createTime":{
"shape":"SyntheticTimestamp_date_time",
"documentation":"<p>The time at which the audience generation job was created.</p>"
},
"description":{
"shape":"ResourceDescription",
"documentation":"<p>The description of the audience generation job.</p>"
},
"name":{
"shape":"NameString",
"documentation":"<p>The name of the audience generation job.</p>"
},
"startedBy":{
"shape":"AccountId",
"documentation":"<p>The AWS Account that submitted the job.</p>"
},
"status":{
"shape":"AudienceGenerationJobStatus",
"documentation":"<p>The status of the audience generation job.</p>"
},
"updateTime":{
"shape":"SyntheticTimestamp_date_time",
"documentation":"<p>The most recent time at which the audience generation job was updated.</p>"
}
},
"documentation":"<p>Provides information about the configured audience generation job.</p>"
},
"AudienceModelArn":{
"type":"string",
"max":2048,
"min":20,
"pattern":"^arn:aws[-a-z]*:cleanrooms-ml:[-a-z0-9]+:[0-9]{12}:audience-model/[-a-zA-Z0-9_/.]+$"
},
"AudienceModelList":{
"type":"list",
"member":{"shape":"AudienceModelSummary"}
},
"AudienceModelMetric":{
"type":"structure",
"required":[
"forTopKItemPredictions",
"type",
"value"
],
"members":{
"forTopKItemPredictions":{
"shape":"Integer",
"documentation":"<p>The number of users that were used to generate these model metrics.</p>"
},
"type":{
"shape":"AudienceModelMetricType",
"documentation":"<p>The audience model metric.</p>"
},
"value":{
"shape":"Double",
"documentation":"<p>The value of the audience model metric</p>"
}
},
"documentation":"<p>The audience model metrics.</p>"
},
"AudienceModelMetricType":{
"type":"string",
"enum":[
"NORMALIZED_DISCOUNTED_CUMULATIVE_GAIN",
"MEAN_RECIPROCAL_RANK",
"PRECISION",
"RECALL"
]
},
"AudienceModelMetrics":{
"type":"list",
"member":{"shape":"AudienceModelMetric"}
},
"AudienceModelStatus":{
"type":"string",
"enum":[
"CREATE_PENDING",
"CREATE_IN_PROGRESS",
"CREATE_FAILED",
"ACTIVE",
"DELETE_PENDING",
"DELETE_IN_PROGRESS",
"DELETE_FAILED"
]
},
"AudienceModelSummary":{
"type":"structure",
"required":[
"audienceModelArn",
"createTime",
"name",
"status",
"trainingDatasetArn",
"updateTime"
],
"members":{
"audienceModelArn":{
"shape":"AudienceModelArn",
"documentation":"<p>The Amazon Resource Name (ARN) of the audience model.</p>"
},
"createTime":{
"shape":"SyntheticTimestamp_date_time",
"documentation":"<p>The time at which the audience model was created.</p>"
},
"description":{
"shape":"ResourceDescription",
"documentation":"<p>The description of the audience model.</p>"
},
"name":{
"shape":"NameString",
"documentation":"<p>The name of the audience model.</p>"
},
"status":{
"shape":"AudienceModelStatus",
"documentation":"<p>The status of the audience model.</p>"
},
"trainingDatasetArn":{
"shape":"TrainingDatasetArn",
"documentation":"<p>The Amazon Resource Name (ARN) of the training dataset that was used for the audience model.</p>"
},
"updateTime":{
"shape":"SyntheticTimestamp_date_time",
"documentation":"<p>The most recent time at which the audience model was updated.</p>"
}
},
"documentation":"<p>Information about the audience model.</p>"
},
"AudienceQualityMetrics":{
"type":"structure",
"required":["relevanceMetrics"],
"members":{
"relevanceMetrics":{
"shape":"RelevanceMetrics",
"documentation":"<p>The relevance scores of the generated audience.</p>"
}
},
"documentation":"<p>Metrics that describe the quality of the generated audience.</p>"
},
"AudienceSize":{
"type":"structure",
"required":[
"type",
"value"
],
"members":{
"type":{
"shape":"AudienceSizeType",
"documentation":"<p>Whether the audience size is defined in absolute terms or as a percentage. You can use the <code>ABSOLUTE</code> <a>AudienceSize</a> to configure out audience sizes using the count of identifiers in the output. You can use the <code>Percentage</code> <a>AudienceSize</a> to configure sizes in the range 1-100 percent.</p>"
},
"value":{
"shape":"AudienceSizeValue",
"documentation":"<p>Specify an audience size value.</p>"
}
},
"documentation":"<p>The size of the generated audience. Must match one of the sizes in the configured audience model.</p>"
},
"AudienceSizeBins":{
"type":"list",
"member":{"shape":"AudienceSizeValue"},
"max":25,
"min":1
},
"AudienceSizeConfig":{
"type":"structure",
"required":[
"audienceSizeBins",
"audienceSizeType"
],
"members":{
"audienceSizeBins":{
"shape":"AudienceSizeBins",
"documentation":"<p>An array of the different audience output sizes.</p>"
},
"audienceSizeType":{
"shape":"AudienceSizeType",
"documentation":"<p>Whether the audience output sizes are defined as an absolute number or a percentage.</p>"
}
},
"documentation":"<p>Configure the list of audience output sizes that can be created. A request to <a>StartAudienceGenerationJob</a> that uses this configured audience model must have an <code>audienceSize</code> selected from this list. You can use the <code>ABSOLUTE</code> <a>AudienceSize</a> to configure out audience sizes using the count of identifiers in the output. You can use the <code>Percentage</code> <a>AudienceSize</a> to configure sizes in the range 1-100 percent.</p>"
},
"AudienceSizeType":{
"type":"string",
"enum":[
"ABSOLUTE",
"PERCENTAGE"
]
},
"AudienceSizeValue":{
"type":"integer",
"box":true,
"max":20000000,
"min":1
},
"Boolean":{
"type":"boolean",
"box":true
},
"ColumnName":{
"type":"string",
"max":128,
"min":1,
"pattern":"^[a-zA-Z0-9_](([a-zA-Z0-9_ ]+-)*([a-zA-Z0-9_ ]+))?$"
},
"ColumnSchema":{
"type":"structure",
"required":[
"columnName",
"columnTypes"
],
"members":{
"columnName":{
"shape":"ColumnName",
"documentation":"<p>The name of a column.</p>"
},
"columnTypes":{
"shape":"ColumnTypeList",
"documentation":"<p>The data type of column.</p>"
}
},
"documentation":"<p>Metadata for a column.</p>"
},
"ColumnType":{
"type":"string",
"enum":[
"USER_ID",
"ITEM_ID",
"TIMESTAMP",
"CATEGORICAL_FEATURE",
"NUMERICAL_FEATURE"
]
},
"ColumnTypeList":{
"type":"list",
"member":{"shape":"ColumnType"},
"max":1,
"min":1
},
"ConfiguredAudienceModelArn":{
"type":"string",
"max":2048,
"min":20,
"pattern":"^arn:aws[-a-z]*:cleanrooms-ml:[-a-z0-9]+:[0-9]{12}:configured-audience-model/[-a-zA-Z0-9_/.]+$"
},
"ConfiguredAudienceModelList":{
"type":"list",
"member":{"shape":"ConfiguredAudienceModelSummary"}
},
"ConfiguredAudienceModelOutputConfig":{
"type":"structure",
"required":[
"destination",
"roleArn"
],
"members":{
"destination":{"shape":"AudienceDestination"},
"roleArn":{
"shape":"IamRoleArn",
"documentation":"<p>The ARN of the IAM role that can write the Amazon S3 bucket.</p>"
}
},
"documentation":"<p>Configuration information necessary for the configure audience model output.</p>"
},
"ConfiguredAudienceModelStatus":{
"type":"string",
"enum":["ACTIVE"]
},
"ConfiguredAudienceModelSummary":{
"type":"structure",
"required":[
"audienceModelArn",
"configuredAudienceModelArn",
"createTime",
"name",
"outputConfig",
"status",
"updateTime"
],
"members":{
"audienceModelArn":{
"shape":"AudienceModelArn",
"documentation":"<p>The Amazon Resource Name (ARN) of the audience model that was used to create the configured audience model.</p>"
},
"configuredAudienceModelArn":{
"shape":"ConfiguredAudienceModelArn",
"documentation":"<p>The Amazon Resource Name (ARN) of the configured audience model that you are interested in.</p>"
},
"createTime":{
"shape":"SyntheticTimestamp_date_time",
"documentation":"<p>The time at which the configured audience model was created.</p>"
},
"description":{
"shape":"ResourceDescription",
"documentation":"<p>The description of the configured audience model.</p>"
},
"name":{
"shape":"NameString",
"documentation":"<p>The name of the configured audience model.</p>"
},
"outputConfig":{
"shape":"ConfiguredAudienceModelOutputConfig",
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},
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},
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},
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}
}
},
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}
}
},
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},
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},
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}
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},
"documentation":"<p>Welcome to the <i>Amazon Web Services Clean Rooms ML API Reference</i>.</p> <p>Amazon Web Services Clean Rooms ML provides a privacy-enhancing method for two parties to identify similar users in their data without the need to share their data with each other. The first party brings the training data to Clean Rooms so that they can create and configure an audience model (lookalike model) and associate it with a collaboration. The second party then brings their seed data to Clean Rooms and generates an audience (lookalike segment) that resembles the training data.</p> <p>To learn more about Amazon Web Services Clean Rooms ML concepts, procedures, and best practices, see the <a href=\"https://docs.aws.amazon.com/clean-rooms/latest/userguide/machine-learning.html\">Clean Rooms User Guide</a>.</p> <p>To learn more about SQL commands, functions, and conditions supported in Clean Rooms, see the <a href=\"https://docs.aws.amazon.com/clean-rooms/latest/sql-reference/sql-reference.html\">Clean Rooms SQL Reference</a>.</p>"
}